GitHub topics: k-fold-cross-validation

Repositories

indranil143/Real-or-AI-Generated-Face-Detection

AI-generated or real face? These Deep Learning-based models can expose digital imposters before they ghost you, so no more falling for flawless deepfake faces!!

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hossein-rahmati/Credit-Card-Fraud-Detection

This repository contains the implementation of a machine learning pipeline for detecting fraudulent credit card transactions. The project leverages common data science libraries to preprocess data, train multiple models, and evaluate their performance using appropriate classification metrics.

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sraashis/easytorch

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

Language: Python - Size: 120 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 5

FilippoMB/cross-validation-tutorial

Introduction to cross-valdation in Machine Learning, with coding examples for supervised classification.

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ptanthavorn/machine-learning

This repository showcases my machine learning projects, where I apply various techniques to analyze datasets and derive insights for business decision-making.

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LifeOf-py/Marketing-Analytics

Predicting which people would be likely to convert from free users to premium subscribers in the next 6 month period, if they are targeted by our promotional campaign.

Language: Python - Size: 497 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

alejimgon/Housing-Prices-Kaggle-Competition-Model

This repository contains my current model for the Housing Prices Kaggle competition.

Language: Python - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

fs23yayan/MiniProject-KFoldCrossValidation

Mini Project: K-Fold Cross Validation for Training Set dan Testing Set pada Machine Learning

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RobbenWijanathan/IncomePredict

IncomePredict is a Python-based data science project that analyzes income levels using data visualization, encoding techniques, and machine learning models.

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Thiraput01/CIBMTR-Equity-in-post-HCT-Survival-Predictions

Notebooks for Kaggle competition

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machulsky61/Clasificador-Genomas

Proyecto de investigación en ML para identificar factores genéticos en pronóstico de lesiones pre-tumorales. Aprendizaje no supervisado para discernir perfiles genéticos distintivos entre grupos de buen y mal pronóstico, mejorando detección y tratamiento temprano del cáncer.

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Ansuman21/Predicting_Vehicle_Weight_with_Linear-Regression

Data Science Project (K-Fold Cross Validation M2)

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pprattis/Recommendation-System-for-Android-Java-App-that-finds-an-ideal-destination-with-the-kNN-Algorithm

This project is an Android mobile application, written in Java programming language and implements a Recommender System using the k-Nearest Neighbors Algorithm. In this way the algorithm predicts the possible ratings of the users according to scores that have already been submitted to the system.

Language: Java - Size: 122 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3

StarlangSoftware/Sampling-Swift

Data sampling library

Language: Swift - Size: 59.6 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

baddison2005/exoplanet_obliquity_ML_classifier

Jupyter notebook containing Python code for predicting exoplanet orbital obliquities using machine learning random forest classifier models.

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sraashis/retinal-fundus-transfer

An example of easytorch implementation on retinal vessel segmentation.

Language: Python - Size: 101 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 5

kazi-safkat/Early-Stage-Preterm-Birth-Prediction-using-ML-and-XAI

Predicted preterm birth (PTB) in early stages of pregnancy. Identified dominant PTB risk factors using Shapley Additive Explanation (SHAP).

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Sabaudian/Binary_Image_Classification_project

Statistical Methods for Machine Learning project - Muffins Vs Chihuahuas

Language: Python - Size: 147 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Darius2527/LifeExpectancy-Regression

This regression model involves predicting the average life expectancy of a country's population using the dataset given.

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MariahFerns/Employee-Turnover-Prediction

Using k-fold cross validation to find the best classification model to predict employee attrition.

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Hashezm/Tumor-Cell-Analysis-Project

This project analyzes tumor cell data from 550 patients using Python. It involves data cleaning, exploratory analysis, feature engineering, and machine learning to classify tumors as malignant or benign. Techniques include PCA, logistic regression, and k-fold cross-validation to ensure model accuracy and reliability.

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abhishekdbihani/Home-Credit-Default-Risk-Recognition

The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

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Scrayil/Heart_Failure_Prediction

This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.

Language: R - Size: 12.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

raysas/data-mining-gene-expression

Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data

Language: R - Size: 22.9 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vbyrao/DataMiningAlgooos

Breast Cancer Data Analysis: Analyzes and classifies breast cancer data using a Naive Bayes classifier with preprocessing, label encoding, and k-fold cross-validation. Cars Dataset Analysis: Explores a cars dataset with data loading, statistics, and visualizations, including price distribution and correlation heatmap. Hayes-Roth Classification: C

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HokageM/DamagedLoggingAnalyzer

A project about an analyzation of a statistic of damaged logging (wood) in Germany using Python.

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edwinthomas444/machine-learning

e2e machine learning pipeline using a config based approach for classification problems. Supports grouping and grading classifiers in addition to online learning algorithms

Language: Python - Size: 55.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

b-fakhar/ML-Algorithms-in-Python

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AndreasScharnetzki/MachineLearningFundamentals

A notebook about commonly used machine learning algorithms.

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PSTAT197-F23/Vignette-Random-Forests

Introduction and Implementation of Random Forest Models

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JonathanFeenstra/tuberculosis-elm-classifier 📦

ELM classifier for detecting tuberculosis in lung X-rays

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BJones47/ML_LinearRegression

This Project will perform linear regression on Automobiles MPG

Language: Python - Size: 15.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

didemch/Forecasting-Covid-Cases-in-R

Building a few linear models to predict 2-week ahead COVID-19 case counts.

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RidhaAF/praktikum-machine-learning-5-naive-bayes-183040083

Praktikum Machine Learning 5 - Naive Bayes dengan Variance Thresholding, Mutual Information, dan K-Fold Cross ValidationAssignment

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triantafd/Fuzzy_Systems_Classification_Regression

Fuzzy Systems Assignments (Classification and Regression) - TSK

Language: MATLAB - Size: 10.3 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

BJones47/Linear-Regression

Using machine learning, get the features and labels from the csv and perform cross fold validation and linear regression.

Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Jecoc907/NBA-Analysis-Project-1

The purpose of this project is to analyze some winning factors for a NBA team and predict their win rate using multiple linear regression. Different cross-validation methods were used to evaluate the model's prediction ability.

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Sarthak-Mohapatra/Classification-of-GPU-Run-as-high-or-low-time-consuming-using-various-classification-Algorithms.

As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms

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hlz-922/banknote-counterfeit-classification

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vicaaa12/Deep-Neural-Networks

Neural Network

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Tarek0Hisham/Diamond-Dataset

'Diamond ' is one of the best-known and most sought-after gemstones. They have been used as decorative items since ancient times. Today, we are gonna make a model to expect its price from the Diamond dataset.

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Kontilenia/Machine-Learning

Estimation of vital status of patients with ovarian cancer using Machine Learning models

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diyaacharya/machine-learning-essentials

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rafsanRubaiyat/Forest-Fire-StepwiseRegression

Forest-Fire-StepwiseRegression The relationships between the ‘Probability of Forest Fire’ in Algeria and its various weather components have been estimated.

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SanghyunKim1/MLB_Team_RunsAllowed_Prediction

MLB Team Runs Allowed Prediction Project (Linear Regression)

Language: Python - Size: 1.48 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

sbrhss/ML-MATLAB

Machine Learning with MATLAB

Language: MATLAB - Size: 28.8 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 3

pprattis/k-fold-cross-validation-and-Root-Mean-Square-error

A Java console application that implemetns k-fold-cross-validation system to check the accuracy of predicted ratings compared to the actual ratings and RMSE to calculate the ideal k for our dataset.

Language: Java - Size: 47.9 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

Purushothaman-natarajan/NLP-TEXT-PROCESSING

This project offers advanced techniques in text preprocessing, word embeddings, and text classification. Explore methods like Word2Vec and GloVe, and master Multinomial Naive Bayes for accurate predictions. Dive into the world of text clustering and conquer challenges like unbalanced data.

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KristofferLM96/TsetlinMachine-GO

Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.

Language: Python - Size: 4.18 GB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

zahrasalarian/Artificial-Intelligence-in-Medicine-Projects

Several small AI projects, including basic machine learning algorithms, perceptron neural networks, convolutional neural networks, and semantic segmentation.

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kavyadevd/Face-Pose-Illumination-Classifier

Label classification for three datasets: Face, Pose and Illumination. Bayes Classifier, KNN Classier, Kerner SVM and Boosted SVM algorithms are written from scratch in Python. The results were evaluated and compared to understand the effectr of dimentionality reduction techniques including PCA, LDA and MDA validation using K-fold cross validation.

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HosnawHb/KNN_and_Naive_Bayes_With_Scikit_Learn

The Purpose of this project is to familiarize with the Naïve Bayes and K Nearest Neighbor classification methods. Algorithms related to these two methods were implemented and then trained and tested on the Abalone dataset.

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interstellarninja/gbdt-classification

Binary classification using gbdt model with catboost and hyperparameter tuning with optuna and dask on Saturn Cloud

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liang-sarah/F1_ML

Predicting 2023 Formula One Constructors' Championship Standings

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Anshuman265/HMM-POS-Tagging

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liliansteven/Implementing-the-K-fold-cross-validation-method-with-Logistic-Regression-from-scratch-

This's our solution to Assignment 1 in the Supervised Learning course taken during the 2023 second semester.

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hishamp3/NeuralNetwork

Evaluating performances of CNN and ANN for Image Classification

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weniariska/rupiah-currency-image-recognition-system

Pada project ini, akan dilakukan identifikasi nilai mata uang rupiah dengan menggabungkan metode ekstrasi ciri Local Binary Pattern dan metode klasifikasi Naïve Bayes. Serta untuk pengukuran akurasi identifikasi dilakukan dengan metode evaluasi K-Fold Cross Validation. Dataset yang digunakan berupa citra dengan rincian terdapat 120 citra yang terdiri dari 15 citra uang kertas Rp1.000, 15 citra uang kertas Rp2.000, 15 citra uang kertas Rp5.000, 15 citra uang kertas Rp10.000, 15 citra uang kertas Rp20.000, 15 citra uang kertas Rp50.000, 15 citra uang kertas Rp75.000, dan 15 citra uang kertas Rp100.000

Language: Python - Size: 22.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

liliansteven/GDSC-ML-Workshop-23

This repository contains a practical application of machine learning In Machine Learning Workshop at GDSC

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Shrinidhi1/New-User-Engagement-Challenge

Given the data of the user activity of a month, can predict user activity for the upcoming month.

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hantablack9/House-Price-Prediction-kaggle

Ames dataset: House Price prediction for kaggle competition (advanced regression, supervised ML)

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venkatesh182002/TMDb_Analysis

A Preprocessing Modelling Study using Supervised ML Models

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ahmedmbutt/Heart-Failure-Prediction

Developing, Evaluating, and Comparing different Classification Models on Heart Failure Prediction Dataset

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indrapaul824/Sem-3-Project-TMDb-Movie-Analysis-and-Modeling

A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models

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iam-D-prog/Machine-Learning-Cross-VSplit

Method Cross Validation Split

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Youlenda/Driver-Consciousness-Level-Analysis-Using-EEG-Signals

Driver's Consciousness Level Analysis using EEG Signals

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masum035/Bengali-Grapheme-Optical-Character-Recognition

Academic Machine Learning (6 months) Sessional Project

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Pradnya1208/Cross-Validation-techniques

This project aims to understand and implement all the cross validation techniques used in Machine Learning.

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sanjushasuresh/KNN-ASSIGNMENT-13-Q1

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.

Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

sanjushasuresh/KNN-ASSIGNMENT-13-Q2

This code includes reading the data file, data visualization, variable splitting, model building, prediction and different metrics calculation using knn.

Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

FDG2801/Pulsar-Detection-and-Classification

Language: Python - Size: 1.59 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

fardinafdideh/Text-analytics

Amazon product review sentiment analysis using Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes (NB) multiclass as classifier models, Synthetic Minority Oversampling Technique (SMOTE) as feature oversampler, and TF-IDF vectorization as feature, Synthetic Minority Oversampling Technique (SMOTE) as oversampler, and k-fold CV.

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Simon-157/AI-final-project

A comprehensive data science project for analysing eCormmerce and online shops data for possibility to enegage customer retention to increase purchases. Trained and comprehensively evaluated machine learning models using different algorithms and tuning procedures.

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hhuang5163/MNIST-Analysis

K-fold cross-validation implemented from scratch to aid in analysis of the MNIST dataset

Language: Python - Size: 31.9 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

tawfik-s/ML-Algo

my machine learning practices for my third year in MFCI CS department

Language: Python - Size: 251 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 1

ninditya/NLP-KNN-LSA

Latent Semantic Analysis For Question Classification With K-Nearest Neighbor (2020-2021)

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DinisDimitris/Body-fat-prediction

This repository aims to predict body fat of men using a public data set of 252 measurements of men (circumference, age, weight, height, etc) using ridge regression

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yafo1948/ML_Reichman_Spring2022

Machine Learning for Data 3141 Reichman University Spring 2022 - 6 Homework Projects

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VarshithaCVasireddy/Customer_Sales_Revenue_Prediction

Based on customer visiting information to the site the customer sales revenue is predicted using machine learning models stacking

Language: R - Size: 11.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

agx01/iris_regression

Implemented Linear Regression Algorithm from scratch to predict species in Iris data using k-fold cross validation

Language: Python - Size: 896 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

guevara-erik/TV-Radio-Newspaper-Ads-performance-Multiple-Linear-Regression

Problem to solve: An exciting application of regression is to quantify the effect of advertisement on sales, considering the newspaper, TV, and radio as the advertisement channels.

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faisal-irzal/titanic_survival_pred

This repo guides you to to build predictive models of Titanic survival, including data-viz & pre-processing, feature analysis, building predictive models and performance evaluation.

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Akash1070/Machine-Learning-

Learning Machine Learning Through Data

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shubhangkhattar/Mask-Classification-Using-CNN-Artificial-Intelligence

Deep Learning Convolutional Neural Network (CNN) using PyTorch and train it to recognize five different classes: (1) Person without a face mask, (2) Person with a “community” (cloth) face mask, (3) Person with a “surgical” (procedural) mask, (4) Person with a “FFP2/N95/KN95”-type mask (you do not have to distinguish between them), and (5) Person with a FFP2/N95/KN95 mask that has a valve. You do not have to consider other mask types (e.g., FFP3), face shields, full/half-face respirators, PPEs, or images that do not show a single face (e.g., groups of people).

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SujayTalanki/Breast-Cancer-Classification-in-R

In this project, I use several different classification algorithms to predict whether a patient has breast cancer or not. This project uses K-fold cross validation, logistic regression, LDA, QDA, SVM, and model tuning techniques to achieve a 96% accuracy rate. This project was completed via R Markdown and LaTex.

Size: 607 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0